Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198A2D662C45A102B0333B1D9FA7757A970D6824ECB430E68BBFC136A67D0D915B2787D |
|
CONTENT
ssdeep
|
384:vroUa87pHKLPlWPSjOfbNRDrnxrkQ/MAA:MUf74rlWPSjOfRR3nxr2L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9e93f36028402ff |
|
VISUAL
aHash
|
c3fbfb7b49090000 |
|
VISUAL
dHash
|
1312929391933633 |
|
VISUAL
wHash
|
d3fbff7f59010000 |
|
VISUAL
colorHash
|
0e203000040 |
|
VISUAL
cropResistant
|
1312929391933633 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 549 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.